Faculty working on the online or blended GIS Graduate Certificate:
Chuanrong (Cindy) Zhang is currently a Professor at the Department of Geography and Center of Environmental Sciences and Engineering, University of Connecticut, Storrs. Zhang is a broadly trained geographer with substantive interests in geospatial technologies. Her research is interdisciplinary, with particular emphasis on geographical information science (GIS), remote sensing, geo-spatial statistics, geocomputation, GIS cyberinfrastructure, and their applications in land use/cover studies, climate change, managing disasters and natural resources, landscape ecology, environmental planning, as well as transportation studies. Her teaching focuses on GIS. She has taught a variety of different GIS courses, such as Introduction to GIS and Advanced GIS, Internet GIS, Spatial Programming, Statistical Methods in Geography, Fundamentals of GIScience, Spatial Data Analysis, and Spatial Statistics and Modeling. She is head of the Geography Department at UConn.
Rich Mrozinski has been teaching GIS courses at the University of Connecticut since fall 1998. Rich undertook his graduate studies at the University of Connecticut, where he actually earned the GIS Certificate in 1997. At UConn, Rich currently teaches GEOG 2500 – Introduction to GIS and GEOG 5510 – Applications in GIS, along with managing the three computer labs and various computer resources in the Geography Department. Rich also serves as the site license administrator for the GIS software license between UConn and Esri.
An Associate Professor in Residence with the Department of Geography, University of Connecticut, Dr. Burnicki teaches GEOG 2500 – Introduction to GIS, GEOG 3500 – Spatial Data Analysis, GEOG 5500 – Introduction to GeoComputing, and several courses for the Department of Civil & Environmental Engineering at UConn. She has written numerous articles that have appeared in such publications as Landscape Ecology, Applied Geology, and the International Journal of Geographic Information Science, as well as presented many papers at industry association conferences. Her primary research interests include quantification and modeling of error and uncertainty in land change analyses and spatio-temporal modeling of land-use/-cover change. Her research applies spatial data analysis and quantitative modeling approaches to quantify and describe land change processes, with her work integrating methodologies and theories from the fields of GIScience, spatial statistics, and remote sensing. She earned her PhD from the School of Natural Resources & Environment, University of Michigan, in 2008.